Evidence map›Paper›PMID 32033398›Full record

ArticleInternational journal of molecular sciences2020

Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis.

Alejandro Cabrera-Andrade, Andrés López-Cortés, Gabriela Jaramillo-Koupermann, César Paz-Y-Miño, Yunierkis Pérez-Castillo, Cristian R Munteanu, Humbert González-Díaz, Alejandro Pazos, Eduardo Tejera

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Article
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  9. Resources and tools for rare disease variant interpretation.Frontiers in molecular biosciences · 2023
    Review
  10. Article
  11. Review
  12. Frontiers in pharmacology · 2021
    Article
  13. Article
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Alejandro Cabrera-AndradeGrupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170125, Ecuador.ORCID 0000-0001-9702-6618
Andrés López-CortésRNASA-IMEDIR, Computer Sciences Faculty, University of A Coruna, 15071 A Coruña, Spain.ORCID 0000-0003-1503-1929
Gabriela Jaramillo-KoupermannLaboratorio de Biología Molecular, Subproceso de Anatomía Patológica, Hospital de Especialidades Eugenio Espejo, Quito 170403, Ecuador.ORCID 0000-0001-8068-1763
César Paz-Y-MiñoCentro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito 170129, Ecuador.ORCID 0000-0002-6693-7344
Yunierkis Pérez-CastilloGrupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170125, Ecuador.
Cristian R MunteanuRNASA-IMEDIR, Computer Sciences Faculty, University of A Coruna, 15071 A Coruña, Spain.ORCID 0000-0002-5628-2268
Humbert González-DíazDepartment of Organic Chemistry II, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0002-9392-2797
Alejandro PazosRNASA-IMEDIR, Computer Sciences Faculty, University of A Coruna, 15071 A Coruña, Spain.ORCID 0000-0003-2324-238X
Eduardo TejeraGrupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170125, Ecuador.
Universidade da Coruña · ESUniversidad de Las Américas · ECIkerbasque · ESUniversidad UTE · EC

Funding

Collaborative Project in Genomic Data Integration (CICLOGEN) PI17/01826
6 · The paper itself

Abstract

Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recent years, several studies have focused on elucidating the molecular mechanisms of this sarcoma; however, its molecular etiology has still not been determined with precision. Therefore, we applied a consensus strategy with the use of several bioinformatics tools to prioritize genes involved in its pathogenesis. Subsequently, we assessed the physical interactions of the previously selected genes and applied a communality analysis to this protein-protein interaction network. The consensus strategy prioritized a total list of 553 genes. Our enrichment analysis validates several studies that describe the signaling pathways PI3K/AKT and MAPK/ERK as pathogenic. The gene ontology described TP53 as a principal signal transducer that chiefly mediates processes associated with cell cycle and DNA damage response It is interesting to note that the communality analysis clusters several members involved in metastasis events, such as

Indexed as

Bone NeoplasmsComputational BiologyConsensusDNA RepairGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansOsteosarcomaProtein Interaction MapsSignal Transductioncommunality analysisearly recognitiongene prioritizationosteosarcomapathogenesis

Identifiers

PMID32033398
PMCPMC7038221
OpenAlexW2996426405

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.